


Daily active addresses represent a critical on-chain metric for evaluating blockchain network health and genuine user adoption, measuring the number of unique wallet addresses that initiate at least one transaction within a 24-hour period. TON's achievement of 450,000 daily active addresses demonstrates substantial user traction and engagement within its ecosystem, positioning it prominently among Layer 1 blockchains competing for market dominance in 2025. This metric places TON ahead of major chains like Bitcoin and Ethereum in terms of daily active user count, reflecting the network's appeal to mainstream users seeking efficient transaction capabilities.
The growth trajectory stems from TON's integration with Telegram's 900 million user base, enabling seamless access to blockchain functionality through the messaging platform. The Open League initiative further accelerates developer participation by incentivizing Mini App creation, converting Telegram users into active network participants. Additionally, the proliferation of gaming projects within TON's ecosystem—particularly tap-to-earn models—has driven significant user acquisition. This user momentum translates into tangible economic activity; USDT trading volumes on TON reached $1.2 billion, underscoring that the expanding active address base reflects genuine transaction demand rather than artificial metrics inflation.
The TON blockchain demonstrates substantial economic throughput, processing 4.5 million daily transactions with a consistent fee structure of $0.005 per transaction. This operational pattern results in approximately $22.5 million in daily on-chain fees, representing a significant level of network utilization. Understanding this transaction volume metric is crucial for analyzing blockchain health and adoption trends, as it reflects the actual economic activity occurring across the network.
These metrics highlight TON's competitive positioning within Layer 1 blockchains. The per-transaction fee of just $0.005 remains remarkably low compared to traditional payment networks and many competing blockchain platforms, making the network attractive for both small and large-value transfers. When multiplied across millions of daily transactions, this volume demonstrates consistent demand for TON's infrastructure. The daily transaction count provides analysts with a tangible measure of network engagement and user activity levels. By tracking these on-chain fees and transaction data, investors and developers can gauge whether the ecosystem is experiencing organic growth or declining usage patterns. This metric-based approach to evaluating TON blockchain represents a fundamental component of comprehensive on-chain analysis.
Whale concentration in TON represents one of the most pressing considerations for ecosystem participants and on-chain analysts. Data reveals that over 68% of TON's total supply is held by whale wallets, creating a highly concentrated token distribution that diverges significantly from the ideals of decentralized networks. This concentration level stems partly from early mining activities, where connected groups of miners generated approximately 78% of total supply during the initial phases. The implications of such substantial large holder dominance extend far beyond mere statistics—they shape transaction patterns, price movements, and systemic risk profiles across the TON ecosystem.
The relationship between whale concentration and market volatility deserves careful examination. Projects with lower whale concentration demonstrate approximately 35% more stable price movements, suggesting that distributed token ownership correlates with reduced volatility exposure. When whales execute large trades—whether accumulation or liquidation events—their singular actions can trigger immediate price swings, especially in markets with limited liquidity depth. Unlike retail investors who tend to hold positions for extended periods and contribute to long-term stability, large holders frequently engage in strategic positioning that can create sudden supply shocks. Understanding this dynamic becomes essential for anyone analyzing TON blockchain on-chain data, as tracking major holder activities provides early warning signals for potential market movements and helps contextualize broader transaction volume trends within the ecosystem.
TON's transaction cost structure represents a sophisticated approach to network economics that supports massive scale operations. The blockchain charges a base transaction fee of approximately 0.0055 TON, structured across two distinct phases: storage fees during the storage phase and compute fees during the compute phase. This dual mechanism ensures transparent cost allocation while maintaining predictability for users and developers navigating the platform.
The fee economics extend beyond basic transaction pricing. TON implements a 50% burn mechanism where half of all transaction fees are permanently removed from circulation, contributing to deflationary pressure that balances the network's 2% annual inflation rate for validator rewards. This creates an equilibrium where validators earn block rewards and transaction fees for securing the network, while the burn mechanism prevents fee accumulation from creating inflationary pressure.
Critically, transaction costs have remained remarkably stable from 2023 through 2026, with gas prices and storage costs showing minimal variation. This consistency proves essential when servicing 240 million monthly active users, as it enables predictable cost planning for both individual users and enterprise applications. Compared to alternative blockchains, TON's fee structure demonstrates significant advantages—Ethereum's fees fluctuate based on congestion, while other networks impose fixed costs that often exceed 0.0055 TON. By combining stable, low transaction costs with a scalable infrastructure capable of handling millions of transactions per second, TON's network economics align technical efficiency with accessibility for its expanding user base.
Active Addresses on TON refer to unique wallet addresses conducting transactions daily. TON currently has approximately 500,000 daily active addresses, ranking fourth among major L1 blockchains. Higher active address growth indicates ecosystem health and user adoption momentum.
TON blockchain transaction volume growth indicates increased user activity and market interest, while significant declines may signal market weakness or liquidity issues. Sustained high transaction volume typically correlates with higher user adoption rates and market confidence in the network.
Whale addresses hold substantial TON tokens. Identify them by analyzing on-chain transaction patterns, large transfer amounts, and wallet concentration data. Track their movements through blockchain explorers to monitor holding changes and market impact signals.
You can use Dune Analytics for detailed data queries, Defillama for DeFi protocol tracking, The Block for comprehensive analytics, and Coingecko with Gecko Terminal for token metrics and DEX aggregation across TON network.
In 2025, TON experienced declining active addresses and transaction volume amid increasing whale concentration. Early miner unlocks triggered significant selling pressure, with monthly 3.7 million token releases exacerbating market volatility and consolidating holdings among major players.
Monitor active addresses growth, transaction volume trends, and whale distribution patterns. Rising active users and sustained transaction value indicate ecosystem expansion. Whale accumulation suggests institutional confidence, signaling potential upside for early investors in TON's growth phase.
Whale large transfers typically cause short-term TON price volatility through order book impact and market sentiment shifts. Massive sell-offs can trigger downward pressure, while accumulation signals bullish momentum. However, overall market conditions and broader crypto trends remain primary price drivers.
TON has a staking rate of 14.20%, significantly lower than Ethereum (26.00%) and Solana (68.00%), indicating lower participation. TON also shows different transaction volume patterns and whale distribution characteristics compared to these established chains.











